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DC Field | Value | Language |
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dc.contributor.author | Tinos, R | - |
dc.contributor.author | Yang, S | - |
dc.date.accessioned | 2011-09-30T10:32:21Z | - |
dc.date.available | 2011-09-30T10:32:21Z | - |
dc.date.issued | 2010 | - |
dc.identifier.citation | The 11th Brazilian Syposium on Artificial Neural Networks, Sao Paulo, Brazil: 223 - 228, 23 - 28 Oct 2010 | en_US |
dc.identifier.isbn | 978-1-4244-8391-4 | - |
dc.identifier.issn | 1522-4899 | - |
dc.identifier.uri | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5715241&tag=1 | en |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/5879 | - |
dc.description | This article is posted here with permmission from IEEE - Copyright @ 2010 IEEE | en_US |
dc.description.abstract | Evolution strategies with q-Gaussian mutation, which allows the self-adaptation of the mutation distribution shape, is proposed for dynamic optimization problems in this paper. In the proposed method, a real parameter q, which allows to smoothly control the shape of the mutation distribution, is encoded in the chromosome of the individuals and is allowed to evolve. In the experimental study, the q-Gaussian mutation is compared to Gaussian and Cauchy mutation on four experiments generated from the simulation of evolutionary robots. | en_US |
dc.description.sponsorship | This work was supported by FAPESP, Brazil, and by the Engineering and Physical Sciences Research Council(EP/E060722/1), UK. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.subject | Evolution strategies | en_US |
dc.subject | Dynamic environments | en_US |
dc.subject | Evolutionary algorithm | en_US |
dc.subject | q-Gaussian mutation | en_US |
dc.subject | Robotics | en_US |
dc.title | Evolution strategies with q-Gaussian mutation for dynamic optimization problems | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.doi | http://dx.doi.org/10.1109/SBRN.2010.46 | - |
pubs.organisational-data | /Brunel | - |
pubs.organisational-data | /Brunel/Brunel (Active) | - |
pubs.organisational-data | /Brunel/Brunel (Active)/School of Info. Systems, Comp & Maths | - |
pubs.organisational-data | /Brunel/Research Centres (RG) | - |
pubs.organisational-data | /Brunel/Research Centres (RG)/CIKM | - |
pubs.organisational-data | /Brunel/School of Information Systems, Computing and Mathematics (RG) | - |
pubs.organisational-data | /Brunel/School of Information Systems, Computing and Mathematics (RG)/CIKM | - |
Appears in Collections: | Publications Computer Science Dept of Computer Science Research Papers |
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Fulltext.pdf | 275.85 kB | Adobe PDF | View/Open |
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